You will get an AI-powered workflow automation system using n8n Make or Zapier
Project details
You'll get a production-ready workflow automation system built with n8n, Make, or Zapier — connected to your existing tools and running autonomously. I build AI-powered workflows that handle repetitive tasks, sync data between apps, and trigger intelligent actions based on your business rules. Every build includes documentation, error handling, and monitoring so your automation runs reliably without constant oversight. Currently operating 33+ automated workflows in production with 2,200+ actions executed.
AI Algorithms
Transformer ModelAI Applications
AI Content Creation, AIOps, Conversational AI, Natural Language GenerationAI Development Language
PythonAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$445
|
Standard
$995
|
Advanced
$2,495
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
AI Model Integration | |||
Batch Normalization | |||
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | |||
MLOps | |||
Model Deployment | |||
Model Documentation | |||
Model Monitoring | |||
Model Testing & Optimization | |||
Model Tuning | |||
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | |||
Prompt Engineering | |||
Setup File | |||
Source Code |
About Syed
AI Engineer | Python Automation, Multi-Agent Systems, APIs & Data Pipe
Downers Grove, United States - 8:59 pm local time
What I build:
- AI Agents & Multi-Agent Systems — CrewAI, LangChain, and custom orchestration frameworks with 20+ agent crews in production
- Autonomous Bots — Telegram, Discord, Slack bots with intelligent routing, content generation, and self-healing
- Data Pipelines — Real-time ingestion with Kafka, PostgreSQL (TimescaleDB), Redis, processing thousands of events per minute
- RAG & Vector DB Systems — ChromaDB, FAISS, Pinecone for semantic search, knowledge retrieval, and long-term memory
- Web Scraping & Browser Automation — CDP, Playwright, headless Chrome at scale with anti-detection
- API Development — FastAPI, Express, RESTful and WebSocket APIs with auth, rate limiting, and monitoring
- ML & Deep Learning — PyTorch models, reinforcement learning, transformers, experiment tracking with MLflow
- Content Automation — AI-powered content pipelines that have published 2,200+ posts with quality gates and scheduling
Production track record:
- Built and run a 22-agent AI system with 14 MCP servers, 99 tools, and enterprise monitoring (Grafana + Prometheus)
- Autonomous content engine: 2,200+ posts published, 350+ engagement targets, self-healing cron orchestration
- Real-time market signal API deployed on Cloudflare with sub-second latency
- Breaking news pipeline: multi-source Telegram ingestion → AI scoring → automated publishing
Every system I deliver has self-healing, monitoring, and alerting built in. Not prototypes — production-tested infrastructure that runs without hand-holding.
Stack: Python, PyTorch, Node.js, FastAPI, Docker, Kafka, PostgreSQL, Redis, ChromaDB, CrewAI, LangChain, Claude API, OpenAI API, MLflow, Grafana, Playwright.
Steps for completing your project
After purchasing the project, send requirements so Syed can start the project.
Delivery time starts when Syed receives requirements from you.
Syed works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Architecture
Map your existing tools, define triggers and actions, design the workflow architecture with error handling paths.
Build & Test
Build the workflows, connect APIs, configure AI decision nodes, and run end-to-end testing with your real data.